Python Radiative Transfer Modelling Wrappers

Get spectral or integrated broadband irradiance outputs from SMARTS and SBdart conveniently, in Python 3.

Prerequisites

• Python 3.6.
• If needed, SMARTS 2.9.5 must be compiled and installed on your system $PATH as smarts295.
• SBDart is compiled during the setup using numpy.distutils, which requires a working fortran compiler. E.g. if using Anaconda: conda install -c conda-forge fortran-compiler
• Numpy and Pandas are required.

Installation

$ pip install atmosrt

Or for the development version:

$ pip install git+https://github.com/ghislainp/atmosrt

Tutorial

To run SBdart or SMARTS, create a model object with a default settings, adjust the config and call the spectrum or irradiance methods to obtain a Pandas DataFrame with the simulation results:

import atmosrt
import datetime

model = atmosrt.SBdart(atmosrt.settings.pollution['moderate'],
			time=datetime.datetime(2020, 2, 11, 12, 0),
			latitude=45.0000,
			longitude=3.0000)

spec = model.spectrum()

alternatively, SBdart simulations can be run for a given Solar Zenith Angle (SZA):

import atmosrt

model = atmosrt.SBdart(atmosrt.settings.pollution['moderate'],
			SZA=50.0,)

spec = model.spectrum()

Documentation

AtmosRT is a Python 3 version of PyRTM with only a few improvements.

The PyRTM documentation is available from at http://www.appropedia.org/PyRTM

Acknowledgment

PyRTM is available from https://github.com/Queens-Applied-Sustainability/PyRTM